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Md. Mahbubur Rahman
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  • Projects
    • CLFM: climate-informed representation learning
    • TAHAF: RGB-D plant phenotyping
    • Temporal amodal leaf completion
  • Publications
    • A Two‐Stage Hybrid Feature Selection and Ensemble Learning Framework With Explainable AI for Accurate PCOS Prediction
    • Trait-Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems
    • Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning
    • Adaptive Correspondence Learning for Multi-View Fusion of 3D Gaussian Reconstructions for Non-Invasive Strawberry Plant Phenotyping
    • SOA-DETR: Small Object Attention with DINOv2 Backbone for Bird vs. Drone Detection Across Varying Dataset Scales
    • An integrated deep learning approach for enhancing brain tumor diagnosis
    • Localized Region Guidance for Class Activation Mapping in WSSS
    • MangoClassify-12: A high-resolution image dataset of twelve indigenous Bangladeshi mango cultivars
    • FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface
    • Integrating deep CNN models for multilingual Sign Language recognition: A SignLink-based approach for Bengali and English
    • Enhancing mental well-being: An artificial intelligence model for predicting mental disorders
    • Privacy and Security Threats of Recommendation Systems: Awareness and Perspective of Users of Bangladesh
    • Automated Code Smell Detection for Software Quality Assurance Using a Web-Based Machine Learning Framework
    • FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fresh fruit and vegetable identification with web interface and customized blind glasses for visually impaired individuals
    • Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data
    • SkinMultiNet: Advancements in Skin Cancer Prediction Using Deep Learning with Web Interface
    • Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection
    • AcneMultiNet: A Deep Learning-Based Hybrid Architecture for Acne Detection
    • An Optimal Feature Selection-Based Approach to Predict Cervical Cancer Using Machine Learning
    • Assessing the Effectiveness of Supervised Learning Models in Predicting Risks of Diabetes and Cardiovascular Disease with Explainability Analysis
    • Comprehensive Predictive Insights: Leveraging Clinical Data for Hepatitis C Prediction with Machine Learning and Deep Learning
    • HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
    • Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management
    • AirNet: predictive machine learning model for air quality forecasting using web interface
    • An automatic system to detect colorectal polyp using hybrid fused method from colonoscopy images
    • Machine Learning Techniques for Predicting Ovarian Cancer in its Early Stages Using Biomarkers
    • Web-Based Machine Learning Framework for Authenticating News: A Fake News Detection System
    • A novel automated system to detect breast cancer from ultrasound images using deep fused features with super resolution
    • Empowering early detection: A web-based machine learning approach for PCOS prediction
    • A deep CNN approach to detect and classify local fruits through a web interface
    • Artificial Intelligence Based Domotics Using Multimodal Security
    • Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
    • BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer
    • Smart Home Security Using Facial Authentication and Mobile Application
    • IoT-Based Temperature and Humidity Real-Time Monitoring and Reporting System for CoVid-19 Pandemic Period
    • Offline Bangla Handwritten Character Recognition with Convolutional Neural Network (CNN)
    • Non Small Cell Lung Cancer Classification from Histopathological Images using Feature Fusion and Deep CNN
  • Talks
    • Attention-Based Task-Adaptive Fusion for Real-Time RGB-D Lettuce Morphological Analysis
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Backlinks
  • CLFM: climate-informed representation learning
  • TAHAF: RGB-D plant phenotyping
  • Temporal amodal leaf completion
  • Academic biography
  • Leadership and service
  • Peer Research Lab
  • Research

Contact

· 1 min read

I welcome conversations about research collaboration, teaching, mentoring, and shared interests in computer vision and agricultural AI.

mrahma11@uwyo.edu

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Laramie, Wyoming, USA.

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